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phuocdu

agentpay-vn

create_payment_request

Generate a VietQR payment request with a specified amount, description, and optional validity window. Returns a QR image URL and checkout page URL to send to the payer.

Instructions

Create a VietQR payment request.

Args: amount: Amount in VND, minimum 1 000. description: Short description for the payer (e.g. "Order #123 — 2 kg coffee"). ttl_minutes: QR validity window in minutes (5–1 440, default 60). metadata_note: Internal note from the agent (order id, conversation id, etc.) — echoed back in webhook events.

Returns: id, pay_code, QR image URL, and checkout page URL. Send qr_image_url or checkout_url to the payer, then call await_settlement(id) to wait for the money to arrive.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountYes
descriptionYes
ttl_minutesNo
metadata_noteNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It explains return values and the metadata_note echo behavior, but does not disclose side effects, idempotency, or error conditions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with Args, Returns, and workflow steps. It is slightly verbose but every sentence serves a purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the richness of the output schema (implied returns) and the workflow instruction, the description is largely complete. It could include more detail on error handling or validation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description compensates fully. It explains each parameter with constraints (amount min, description example, ttl_minutes range, metadata_note usage) and adds meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description starts with 'Create a VietQR payment request,' which uses a specific verb and resource. It clearly distinguishes from sibling tools that settle, check, or list payments.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides a clear workflow: create the request, then send the URL to the payer and call await_settlement. It does not explicitly state when not to use this tool, but the context is sufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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